| On the variance of the adaptive learning rate and beyond L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han arXiv preprint arXiv:1908.03265, 2019 | 2018 | 2019 |
| Deberta: Decoding-enhanced bert with disentangled attention P He, X Liu, J Gao, W Chen arXiv preprint arXiv:2006.03654, 2020 | 1988 | 2020 |
| Unified Language Model Pre-training for Natural Language Understanding and Generation L Dong, N Yang, W Wang, F Wei, X Liu, Y Wang, J Gao, M Zhou, HW Hon arXiv preprint arXiv:1905.03197, 2019 | 1607 | 2019 |
| Smart: Robust and efficient fine-tuning for pre-trained natural language models through principled regularized optimization H Jiang, P He, W Chen, X Liu, J Gao, T Zhao arXiv preprint arXiv:1911.03437, 2019 | 1535* | 2019 |
| MS MARCO: A human generated machine reading comprehension dataset T Nguyen, M Rosenberg, X Song, J Gao, S Tiwary, R Majumder, L Deng CoCo@ NIPS, 2016 | 1497 | 2016 |
| Domain-specific language model pretraining for biomedical natural language processing Y Gu, R Tinn, H Cheng, M Lucas, N Usuyama, X Liu, T Naumann, J Gao, ... ACM Transactions on Computing for Healthcare (HEALTH) 3 (1), 1-23, 2021 | 1471 | 2021 |
| Multi-task deep neural networks for natural language understanding X Liu, P He, W Chen, J Gao arXiv preprint arXiv:1901.11504, 2019 | 1341 | 2019 |
| MS MARCO: A human generated machine reading comprehension dataset T Nguyen, M Rosenberg, X Song, J Gao, S Tiwary, R Majumder, L Deng CoCo@ NIPS, 2016 | 638* | 2016 |
| Representation learning using multi-task deep neural networks for semantic classification and information retrieval X Liu, J Gao, X He, L Deng, K Duh, YY Wang | 491 | 2015 |
| Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers B Wang, R Shin, X Liu, O Polozov, M Richardson arXiv preprint arXiv:1911.04942, 2019 | 475 | 2019 |
| Cyclical annealing schedule: A simple approach to mitigating kl vanishing H Fu, C Li, X Liu, J Gao, A Celikyilmaz, L Carin arXiv preprint arXiv:1903.10145, 2019 | 381 | 2019 |
| Unilmv2: Pseudo-masked language models for unified language model pre-training H Bao, L Dong, F Wei, W Wang, N Yang, X Liu, Y Wang, J Gao, S Piao, ... International conference on machine learning, 642-652, 2020 | 376 | 2020 |
| Record: Bridging the gap between human and machine commonsense reading comprehension S Zhang, X Liu, J Liu, J Gao, K Duh, B Van Durme arXiv preprint arXiv:1810.12885, 2018 | 244 | 2018 |
| Understanding the difficulty of training transformers L Liu, X Liu, J Gao, W Chen, J Han arXiv preprint arXiv:2004.08249, 2020 | 243 | 2020 |
| Stochastic answer networks for machine reading comprehension X Liu, Y Shen, K Duh, J Gao arXiv preprint arXiv:1712.03556, 2017 | 231 | 2017 |
| Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding X Liu, P He, W Chen, J Gao arXiv preprint arXiv:1904.09482, 2019 | 200 | 2019 |
| Generation-augmented retrieval for open-domain question answering Y Mao, P He, X Liu, Y Shen, J Gao, J Han, W Chen arXiv preprint arXiv:2009.08553, 2020 | 166 | 2020 |
| Adversarial training for large neural language models X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao arXiv preprint arXiv:2004.08994, 2020 | 164 | 2020 |
| Tuning large neural networks via zero-shot hyperparameter transfer G Yang, E Hu, I Babuschkin, S Sidor, X Liu, D Farhi, N Ryder, J Pachocki, ... Advances in Neural Information Processing Systems 34, 17084-17097, 2021 | 130* | 2021 |
| Language-based image editing with recurrent attentive models J Chen, Y Shen, J Gao, J Liu, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 125 | 2018 |
Jianfeng GaoMicrosoft Research, RedmondEmail được xác minh tại microsoft.com
